Summary

The customer is a global automobile manufacturer with a production capacity of 100,000 units of cars per year. The customer wanted to Predict the failures early on to reduce expensive QA costs and reduce failures. Anblicks helped the customer Predictive QA solution to reduce engine block failures, recalls, and repairs.

Our Solution

• Implemented machine learning solution to understand the failure patterns from 106 IoT device sensors per production machine.
• Implemented machine learning solution using AzureML to predict the engine leakage failure .

Customer Benefits

• Predicted the engine block failure with 95% accuracy, leveraging the IoT data from die-casting process​
• Reducing the risk of downtime, saving many workdays per site​